Python Data Science Essentials: A Comprehensive Guide to NumPy, PyTorch, and Scientific Computing
Python Fundamentals
Basic Data Types
Checking variable types:
data_type = type(variable)
String Operations
# String formatting examples
message = '{} {} {}'.format(greeting, target, number)
print(message)
# sprintf-style formatting
formatted = '%s %s %d' % (greeting, target, number)
print(formatted)
# String manipulation methods
text = &quo ...
Posted on Mon, 31 Aug 2026 16:36:15 +0000 by KevMull
Numerical Issues with Scipy Beta Distribution and Numpy Clip Operations
α, β < 0: Invalid region
α = β = 1: Constant distribution, B(x; 1, 1) ≡ 1
α, β > 1: Bell-shaped (unimodal)
0 < α < 1 ≤ β: L-shaped
0 < β < 1 ≤ α: J-shaped
0 < α, β < 1: U-shaped
The last three categories approach positive infinity at the boundaries (0 or 1), which can cause numerical problems in programming:
invalid va ...
Posted on Wed, 19 Aug 2026 16:29:01 +0000 by tfburges
Conducting T-Tests in Python: Independent and Paired Samples
T-tests are statistical methods used to determine if significant differences exist between the means of two groups. They calculate a T-value and P-value to assess whether observed differences are statistically meaningful. The null hypothesis assumes equal means, while the alternative suggests inequality.
Independent Samples T-Test
This test com ...
Posted on Sat, 18 Jul 2026 16:39:08 +0000 by monkeyj